| 1 | #ifndef EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
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| 2 | #define EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
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| 3 |
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| 4 | #include "SparseCore"
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| 5 | #include "OrderingMethods"
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| 6 |
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| 7 | #include "src/Core/util/DisableStupidWarnings.h"
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| 8 |
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| 9 | /**
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| 10 | * \defgroup IterativeLinearSolvers_Module IterativeLinearSolvers module
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| 11 | *
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| 12 | * This module currently provides iterative methods to solve problems of the form \c A \c x = \c b, where \c A is a squared matrix, usually very large and sparse.
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| 13 | * Those solvers are accessible via the following classes:
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| 14 | * - ConjugateGradient for selfadjoint (hermitian) matrices,
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| 15 | * - BiCGSTAB for general square matrices.
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| 16 | *
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| 17 | * These iterative solvers are associated with some preconditioners:
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| 18 | * - IdentityPreconditioner - not really useful
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| 19 | * - DiagonalPreconditioner - also called JAcobi preconditioner, work very well on diagonal dominant matrices.
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| 20 | * - IncompleteILUT - incomplete LU factorization with dual thresholding
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| 21 | *
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| 22 | * Such problems can also be solved using the direct sparse decomposition modules: SparseCholesky, CholmodSupport, UmfPackSupport, SuperLUSupport.
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| 23 | *
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| 24 | * \code
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| 25 | * #include <Eigen/IterativeLinearSolvers>
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| 26 | * \endcode
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| 27 | */
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| 28 |
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| 29 | #include "src/misc/Solve.h"
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| 30 | #include "src/misc/SparseSolve.h"
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| 31 |
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| 32 | #include "src/IterativeLinearSolvers/IterativeSolverBase.h"
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| 33 | #include "src/IterativeLinearSolvers/BasicPreconditioners.h"
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| 34 | #include "src/IterativeLinearSolvers/ConjugateGradient.h"
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| 35 | #include "src/IterativeLinearSolvers/BiCGSTAB.h"
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| 36 | #include "src/IterativeLinearSolvers/IncompleteLUT.h"
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| 37 |
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| 38 | #include "src/Core/util/ReenableStupidWarnings.h"
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| 39 |
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| 40 | #endif // EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
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